Spotify - Principal Product Manager, Agentic Surfaces
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Requirements
• 10+ years of product management experience, with a majority in AI, consumer-focused roles • Proven track record shipping and scaling agentic products in production at scale — real agents that take autonomous action for users, not prototypes, demos, or scripted chatbots • Experience owning consumer products with tens or hundreds of millions of users • Demonstrated ability to balance investment across maturing and emerging technologies — knowing when to bet on the new and when to lean on the proven • Demonstrated ability to set product vision and roadmap and bring executive and developer-leadership audiences along • Exceptional product taste and instinct for what makes an experience delightful • Decisiveness under incomplete information: you triangulate the best evidence available, make the call, and own the consequences — "the AI recommended it" is never an excuse • Highly analytical; fluent in experimentation and using data to drive decisions • Excellent communication and stakeholder management across large, distributed, cross-functional orgs • Ability to thrive in fast-paced, ambiguous environments where the playbook is still being written • Deep, current expertise in how AI and agents are transforming consumer software, with a track record of building and launching agentic capabilities at scale in production • Experience with recommender systems, personalization, or large-scale ML-driven products — and the judgment to decide where an established stack stays durable versus where to move onto a new paradigm • Technical background or proven ability to partner closely with ML engineers and researchers on what's feasible — comfortable pulling your own data, exploring a codebase, or spinning up a prototype to unblock yourself • Experience building evaluation frameworks for AI-driven or personalized products at scale • Experience influencing across broad organizations and helping teams adopt new ways of working • You have either founder or startup experience • Passion for audio, discovery, and redefining how the world finds what it loves next • Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location • This team operates within the Eastern Standard time zone for collaboration • The United States base range for this position is $182,308 - $260,441 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
Responsibilities
• Own the product vision, strategy, and roadmap for the agentic future of Home, with flexibility to extend across Now Playing, Browse, and other surfaces as the strategy matures • Set the strategy for how Home's personalization evolves — determining where the established recommendation stack remains durable and where we deprecate it in favor of agents and the Large Personalization Model • Lead the ideation, development, and launch of agentic experiences that move from reactive recommendations to proactive, intent-aware action • Translate frontier model and agent capabilities into intuitive experiences a broad global audience understands and loves • Exercise clear, traceable judgment: be explicit about what to build and what to say no to, and sunset work that no longer serves the strategy • Set a high bar for quality and craft — the everyday interactions millions experience are the product — and hold the line between "looks great" and "is great" • Establish the evaluation bar for agentic experiences: rigorous eval frameworks, instrumentation, and honest assessment across diverse user segments, since what delights one listener can miss millions of others • Use prototypes and real results to learn — favor showing a working prototype over writing a long doc — and defer commitment until understanding is strong • Use a mix of quantitative data, experimentation, and user research to understand behavior and make prioritization calls in genuinely ambiguous territory • Partner deeply with engineering, ML, design, research, and data science to ship high-impact improvements at a fast cadence • Influence senior stakeholders across Spotify, building alignment around a vision that spans multiple teams and surfaces • Balance rapid iteration with our commitment to user trust, safety, and brand integrity at scale
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